### **Opportunity:**
Plume’s Cloud Platform team is looking for engineers to build and operate data
pipelines that power the gamut of Plume products and analytics. Due to the
massive scale and performance requirements of many of our use cases, you will
be solving challenging problems on a daily basis using a variety of cutting
edge technologies.
**What you will do:**
* Interact with stakeholders to gather and understand data requirements
* Design and implement data pipelines with high data quality goals
* Write clean, maintainable code, and perform peer code-reviews
* Refactor code as needed to improve performance and simplify operations
* Provide production support in triaging and fixing issues relating to data quality and availability
* Mentor and assist junior team members and new hires to become successful and productive
* Adhere to data protection requirements including data access, retention, residency and de-identification
* Maintain up-to-date documentation of data warehouse schemas
**What You’ll Bring**
* Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field
* 5+ years of software development experience with a proven track record of building, scaling, and supporting production data pipelines
* High proficiency in writing idiomatic code, preferably in Python or Scala, as well as SQL
* Strong understanding of large-scale data processing technologies, e.g. Apache Spark (preferred) or Apache Flink
* Strong understanding of data warehousing concepts
* Familiarity with implementing Machine Learning algorithms
* Possess solid analytical, problem-solving and communication skills
Total Compensation package would include: anticipated compensation range of
$116,000 to $145,000 bonus + equity + benefits. Benefits include: a 401k plan
and a company match, basic life insurance plus unparalleled health, dental,
vision and other benefits and perks. Please see[
here](https://www.plume.com/plume-careers/) for more details.
An employee’s base salary and its position within the range may depend on a
number of factors including job related knowledge, education, skills,
experience and other business related considerations. Published ranges are
provided in good faith at the time of posting.
